PHRONESIS: Systemic Friction Hypotheses — Final v1.0
PHRONESIS: Systemic Friction Hypotheses — Final v1.0 is a descriptive, non-authoritative analytical research paper examining whether modeled systemic friction is sufficient evidence that an adapting optimizer will settle on restraint. Its principal exact result is a synthetic counterexample to the inference that fixed-policy self-penalty implies natural restraint. In the specified model, constant maximal manipulation becomes self-penalizing while an adaptive manipulate-and-recover policy remains profitable, and an optimal infinite-horizon policy does not converge to zero manipulation under the stated assumptions. The paper does not establish that adaptive optimizers generally resist restraint, that systemic friction generally prevents cooperation, or that the numerical model transfers to real systems. Physical-exposure and deception-maintenance mechanisms remain empirical conjectures. The empirical measurement program may also be ethically or operationally untestable in some high-risk deployments. Final v1.0 was authorially reviewed, computationally re-executed, visually inspected, and cryptographically locked. Independent specialist peer review has not been obtained and empirical validation has not been performed. Public Mirrors and Indexing This Final v1.0 publication is independently mirrored, indexed, and preserved across the following public services: Internet Archive: Archive.org preservation mirror GitHub: Final v1.0 repository mirror PhilPapers: PhilPapers record AEGPSF MERLOT: MERLOT material 824240166 Arweave — Canonical Final PDF: Permanent canonical PDF data item Arweave — Terminal Preservation Anchor: Final v1.0 preservation-record anchor Canonical PDF SHA-256:4bb6cdf63b004066d250834e5cb957b687d44289afe60b30b612fdbbff13b5b0 Arweave preservation-record JSON SHA-256:3a6c4efc90d861d2147a71d1f4d53f004de6a15e6f06de44c4520f642194c3a1 These mirrors and indexes provide discovery and preservation redundancy. They do not modify the cryptographically locked Final v1.0 artifacts, and they do not alter or supersede Master Hash Manifest v17.0 FINAL.
Authors
- Aegis Solis (ORCID: https://orcid.org/0009-0008-1127-1232)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-14
- DOI
- https://doi.org/10.5281/zenodo.22755128
- Primary Topic
- Security and Verification in Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00